(MENAFN- GlobeNewsWire - Nasdaq) The Increasing incidences of deepfakes and synthetically manipulated media on social networking, news, and enterprise platforms are the key factors that are driving the growth of the Fake Image Detection Market.

Austin, Sept. 30, 2025 (GLOBE NEWSWIRE) -- The Fake Image Detection Market Size was valued at USD 1.48 Billion in 2025E and is expected to reach USD 4.84 Billion by 2033 and grow at a CAGR of 15.99% over the forecast period 2026-2033.

The dominant growth of AI-based deepfakes and synthetic media across social media, news portals, and enterprise communications is the primary driver of the fake image detection market's expansion. The creation of realistic-looking false photographs and videos has become very easy due to the development of advanced, widely available AI and machine learning technology, raising the risk of fraud, identity theft, and disinformation. The demand for governments, media outlets, and companies to implement detection systems with robust, real-time verification cross-platform and multilingual capabilities is growing because to the sophisticated manipulations of AI-generated material. Therefore, it is anticipated that the growing need for sophisticated software and services that detect false images would accelerate market expansion in the near future.

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Key Players:

• Sensity AI
• Reality Defender
• Truepic
• Attestiv
• Serelay
• Deepware
• Paravision
• Mobai
• Oz Forensics
• Keyless
• Aurigin
• Pindrop
• Veritone
• Polyguard
• ROC
• Amber Video
• GetReal Labs
• Hive
• Magnet Forensics
• Datambit

Fake Image Detection Market Report Scope:

Report Attributes	Details
Market Size in 2025	USD 1.48 Billion
Market Size by 2033	USD 4.84 Billion
CAGR	CAGR of 15.99% From 2026 to 2033
Base Year	2025
Forecast Period	2026-2033
Historical Data	2022-2024
Report Scope & Coverage	Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments	. By Offering (Software, Services) . By Deployment Model (On-premises, Cloud) . By Organization Size (Large Enterprises, Small & Medium Enterprises) . By End-User (BFSI, Government, Healthcare, Telecom, Media & Entertainment, Others)
Customization Scope	Available upon request
Pricing	Available upon request

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Segmentation Analysis:

By Offering, in 2025, Software Led the Market with a Share 70.02%, while Services is the Fastest-Growing Segment with a CAGR 17.5%

Software accounts for the highest share in the Fake Image Detection Market in 2025, as most of organizations, media houses and government bodies are using image detection software for real time verification and cross platform detection. Services is the fastest-growing segment owing to the increasing trend of organizations opting for implementation, consulting, training, and managed detection services delivered by experts from the field.

By Deployment Model, in 2025, On-premises Led the Market with a 64.08% Share, while Cloud Segment is the Fastest-Growing Segment with a CAGR of 18.2%

On-premises deployment leads the market in 2025, and is projected to have the largest share in the global Fake Image Detection Market during the forecast period as enterprises prefer deployment on-site to exercise greater control over their data and ensure compliance with existing regulatory standards and data privacy rules. Cloud deployment segment is expected to witness the fastest growth during the forecast period, owing to its ability to provide scalable, cost-efficient and easily-integrated solutions with social media monitoring, BI tools, and enterprise applications.

By Organization Size, in 2025, Large Enterprises Led the Market with a Share of 66.08%, while SMEs is the Fastest-Growing Segment with a CAGR of 18.8%

Large enterprises dominate the market with a larger share in 2025, owing to large volume of digital content, higher cybersecurity budget, and higher need of complete detection tools to secure brands from fraud and image loss. SMEs are growing at the fastest rate, since smaller businesses are becoming increasingly aware of the potential risks that fake images pose and are adopting detection solutions, which are cost-effective and scalable to cater to their needs.

By End-user, in 2025, BFSI Led the Market with a Share of 28.5%, while Media & Entertainment is the Fastest-growing Segment with a CAGR of 19.5%

BFSI dominates the Fake Image Detection Market share in 2025, due to financial data is highly sensitive and fraud, identity theft, and misinformation are crucial issues in the financial industry. The Media & Entertainment industry is the fastest-growing segment due to the increasing number of deepfakes in films, news, and social media content.

North America Dominated the Market in 202 5 ; Asia Pacific is Estimated to be the Fastest Growing Region in the Market During 202 6 -203 3

North America accounted for the largest share 38.06%of the Fake Image Detection Market in 2025, due to high adoption of advanced AI technologies, regulatory frameworks, deepfake's rapid adoption in social media, news platforms, and enterprise communications. In 2025, Asia Pacific is the fastest-growing Fake Image Detection Market with a CAGR 16.98%, due to the increase in internet, social media users, misinformation, and synthetic media in this region.

Recent Developments:

• July 2025 : Reality Defender expanded its offerings by launching an API and SDKs, enabling developers to integrate their AI models for real-time deepfake detection in applications.
• May 2025, Mobai introduced an in-house liveness detection solution capable of identifying presentation attacks, deepfakes, and other fraudulent techniques, enhancing biometric authentication security.

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Exclusive Sections of the Report (The USPs):

• Ecosystem & Industry Linkages – helps you evaluate how deeply fake image detection tools are embedded across industries by tracking integration into BI tools, social media moderation, and cybersecurity suites, alongside the market split between open-source and proprietary solutions.
• Economic & Policy Dimensions – helps you understand the financial and regulatory landscape through metrics such as the number of litigation cases, rejected insurance claims due to fraudulent media, and the pace of government regulation rollouts across countries.
• Performance & Benchmarking – helps you assess solution maturity by analyzing model training dataset sizes, cross-platform detection accuracy, and support for multilingual or multimodal content across images, video, and text.
• Behavioral & User-Centric Metrics – helps you gauge public readiness and trust by measuring awareness levels, employee training time on media verification, and user willingness to pay for verified and trustworthy media platforms.
• Certification & Standardization Index – helps you track vendor alignment with global authenticity frameworks such as C2PA, providing insight into compliance maturity and trustworthiness across detection solutions.
• Trust & Adoption Index – helps you quantify the direct impact of detection implementation on user trust and adoption levels across digital media platforms, offering a lens into the technology's societal value.

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